High dimensional model representation (HDMR) with clustering for image retrieval

Ayşegül Karclll; Burcu Tunga

doi:10.1063/1.4972664

High dimensional model representation (HDMR) with clustering for image retrieval

Ayşegül Karclll, Burcu Tunga

Matematik Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

3 Atıf (Scopus)

Özet

Image retrieval continues to hold an important place in today's extremely fast growing technology. In this field, the accurate image retrieval with high speed is critical. In this study, to achieve this important issue we developed a novel method with the help of High Dimensional Model Representation (HDMR) philosophy. HDMR is a decomposition method used to solve different scientific problems. To test the performance of the new method we used Columbia Object Image Library (COIL100) and obtained the encouraging results. These results are given in the findings section.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	ICNPAA 2016 World Congress
Ana bilgisayar yayını alt yazısı	11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences
Editörler	Seenith Sivasundaram
Yayınlayan	American Institute of Physics Inc.
ISBN (Elektronik)	9780735414648
DOI'lar	https://doi.org/10.1063/1.4972664
Yayın durumu	Yayınlandı - 27 Oca 2017
Etkinlik	11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2016 - La Rochelle, France Süre: 4 Tem 2016 → 8 Tem 2016

Yayın serisi

Adı	AIP Conference Proceedings
Hacim	1798
ISSN (Basılı)	0094-243X
ISSN (Elektronik)	1551-7616

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2016
Ülke/Bölge	France
Şehir	La Rochelle
Periyot	4/07/16 → 8/07/16

Bibliyografik not

Publisher Copyright:
© 2017 Author(s).

Belgeye Erişim

10.1063/1.4972664

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Karclll, A., & Tunga, B. (2017). High dimensional model representation (HDMR) with clustering for image retrieval. In S. Sivasundaram (Ed.), ICNPAA 2016 World Congress: 11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences Makale 020072 (AIP Conference Proceedings; Hac. 1798). American Institute of Physics Inc.. https://doi.org/10.1063/1.4972664

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title = "High dimensional model representation (HDMR) with clustering for image retrieval",

abstract = "Image retrieval continues to hold an important place in today's extremely fast growing technology. In this field, the accurate image retrieval with high speed is critical. In this study, to achieve this important issue we developed a novel method with the help of High Dimensional Model Representation (HDMR) philosophy. HDMR is a decomposition method used to solve different scientific problems. To test the performance of the new method we used Columbia Object Image Library (COIL100) and obtained the encouraging results. These results are given in the findings section.",

keywords = "Clustering, HDMR, Image decomposition, Image retrieval",

author = "Ay{\c s}eg{\"u}l Karclll and Burcu Tunga",

note = "Publisher Copyright: {\textcopyright} 2017 Author(s).; 11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2016 ; Conference date: 04-07-2016 Through 08-07-2016",

year = "2017",

month = jan,

day = "27",

doi = "10.1063/1.4972664",

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Karclll, A & Tunga, B 2017, High dimensional model representation (HDMR) with clustering for image retrieval. in S Sivasundaram (ed.), ICNPAA 2016 World Congress: 11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences., 020072, AIP Conference Proceedings, hac. 1798, American Institute of Physics Inc., 11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2016, La Rochelle, France, 4/07/16. https://doi.org/10.1063/1.4972664

High dimensional model representation (HDMR) with clustering for image retrieval. / Karclll, Ayşegül; Tunga, Burcu.
ICNPAA 2016 World Congress: 11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences. ed. / Seenith Sivasundaram. American Institute of Physics Inc., 2017. 020072 (AIP Conference Proceedings; Hac. 1798).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - High dimensional model representation (HDMR) with clustering for image retrieval

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AU - Tunga, Burcu

PY - 2017/1/27

Y1 - 2017/1/27

N2 - Image retrieval continues to hold an important place in today's extremely fast growing technology. In this field, the accurate image retrieval with high speed is critical. In this study, to achieve this important issue we developed a novel method with the help of High Dimensional Model Representation (HDMR) philosophy. HDMR is a decomposition method used to solve different scientific problems. To test the performance of the new method we used Columbia Object Image Library (COIL100) and obtained the encouraging results. These results are given in the findings section.

AB - Image retrieval continues to hold an important place in today's extremely fast growing technology. In this field, the accurate image retrieval with high speed is critical. In this study, to achieve this important issue we developed a novel method with the help of High Dimensional Model Representation (HDMR) philosophy. HDMR is a decomposition method used to solve different scientific problems. To test the performance of the new method we used Columbia Object Image Library (COIL100) and obtained the encouraging results. These results are given in the findings section.

KW - Clustering

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KW - Image decomposition

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Y2 - 4 July 2016 through 8 July 2016

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High dimensional model representation (HDMR) with clustering for image retrieval

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